@inproceedings{scholars6597,
          volume = {1787},
            note = {cited By 5; Conference of 4th International Conference on Fundamental and Applied Sciences, ICFAS 2016 ; Conference Date: 15 August 2016 Through 17 August 2016; Conference Code:125141},
             doi = {10.1063/1.4968051},
            year = {2016},
           title = {A review on economic emission dispatch problems using quantum computational intelligence},
       publisher = {American Institute of Physics Inc.},
         journal = {AIP Conference Proceedings},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85006048070&doi=10.1063\%2f1.4968051&partnerID=40&md5=29888a95c984541d390292d1e1835e46},
        abstract = {Economic emission dispatch (EED) problems are one of the most crucial problems in power systems. Growing energy demand, limitation of natural resources and global warming make this topic into the center of discussion and research. This paper reviews the use of Quantum Computational Intelligence (QCI) in solving Economic Emission Dispatch problems. QCI techniques like Quantum Genetic Algorithm (QGA) and Quantum Particle Swarm Optimization (QPSO) algorithm are discussed here. This paper will encourage the researcher to use more QCI based algorithm to get better optimal result for solving EED problems. {\^A}{\copyright} 2016 Author(s).},
            issn = {0094243X},
          author = {Mahdi, F. P. and Vasant, P. and Kallimani, V. and Abdullah-Al-Wadud, M.},
            isbn = {9780735414518}
}